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Yuqi Huo
Yuqi Huo
Baichuan Inc.
Verified email at baichuan-inc.com
Title
Cited by
Cited by
Year
Pre-trained models: Past, present and future
X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ...
AI Open 2, 225-250, 2021
5552021
Learning depth-guided convolutions for monocular 3d object detection
M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020
2762020
Towards artificial general intelligence via a multimodal foundation model
N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ...
Nature Communications 13 (1), 3094, 2022
1132022
WenLan: Bridging vision and language by large-scale multi-modal pre-training
Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ...
arXiv preprint arXiv:2103.06561, 2021
1122021
Cots: Collaborative two-stream vision-language pre-training model for cross-modal retrieval
H Lu, N Fei, Y Huo, Y Gao, Z Lu, JR Wen
Proceedings of the IEEE/CVF conference on computer Vision and pattern …, 2022
492022
Lightweight action recognition in compressed videos
Y Huo, X Xu, Y Lu, Y Niu, M Ding, Z Lu, T Xiang, J Wen
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
37*2020
Wenlan 2.0: Make ai imagine via a multimodal foundation model
N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ...
arXiv, 2021
202021
Self-supervised video representation learning with constrained spatiotemporal jigsaw
Y Huo, M Ding, H Lu, Z Lu, T Xiang, JR Wen, Z Huang, J Jiang, S Zhang, ...
20*2020
Coarse-to-fine grained classification
Y Huo, Y Lu, Y Niu, Z Lu, JR Wen
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
172019
Learning versatile neural architectures by propagating network codes
M Ding, Y Huo, H Lu, L Yang, Z Wang, Z Lu, J Wang, P Luo
arXiv preprint arXiv:2103.13253, 2021
132021
Uniadapter: Unified parameter-efficient transfer learning for cross-modal modeling
H Lu, Y Huo, G Yang, Z Lu, W Zhan, M Tomizuka, M Ding
arXiv preprint arXiv:2302.06605, 2023
112023
Vdt: An empirical study on video diffusion with transformers
H Lu, G Yang, N Fei, Y Huo, Z Lu, P Luo, M Ding
arXiv preprint arXiv:2305.13311, 2023
102023
Compressed video contrastive learning
Y Huo, M Ding, H Lu, N Fei, Z Lu, JR Wen, P Luo
Advances in Neural Information Processing Systems 34, 14176-14187, 2021
92021
Not all bug reopens are negative: A case study on eclipse bug reports
Q Mi, J Keung, Y Huo, S Mensah
Information and Software Technology 99, 93-97, 2018
82018
Lgdn: Language-guided denoising network for video-language modeling
H Lu, M Ding, N Fei, Y Huo, Z Lu
Advances in Neural Information Processing Systems 35, 25198-25211, 2022
72022
Cross-modal contrastive learning for generalizable and efficient image-text retrieval
H Lu, Y Huo, M Ding, N Fei, Z Lu
Machine Intelligence Research 20 (4), 569-582, 2023
52023
Zero-shot learning with superclasses
Y Huo, M Ding, A Zhao, J Hu, JR Wen, Z Lu
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
52018
Vdt: General-purpose video diffusion transformers via mask modeling
H Lu, G Yang, N Fei, Y Huo, Z Lu, P Luo, M Ding
The Twelfth International Conference on Learning Representations, 2023
42023
Zero-shot learning with few seen class samples
Y Huo, J Guan, J Zhang, M Zhang, JR Wen, Z Lu
2019 IEEE International Conference on Multimedia and Expo (ICME), 1336-1341, 2019
42019
Complex Action Segmentation in Compressed Videos
H Han, G Yang, Y Huo, Z Lu, JR Wen
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
22021
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